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The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification and characterization, with high reliability in presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.
|Number of pages||8|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|Early online date||17 Jan 2017|
|Publication status||Published - 28 Feb 2017|
- automatic target recognition
- synthetic aperture radar (SAR)
- krawtchouk moments
- discretization errors
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1/04/13 → 31/03/18